Introduction
Balancing the depth of SHL's personality assessments with the time required for candidates to complete them is a critical trade-off that impacts both the quality of insights and the user experience. This scenario involves weighing the benefits of comprehensive assessments against the potential for candidate fatigue and dropout rates. I'll approach this by analyzing the current product, identifying key metrics, designing experiments, and providing a data-driven recommendation.
I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in my analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps gauge the urgency of addressing assessment length Expected answer: Completion rates are slightly below industry average Impact on approach: Would prioritize user experience improvements
Why it matters: Informs potential revenue implications of changes Expected answer: Longer assessments command premium pricing Impact on approach: Would need to balance revenue considerations with user experience
Why it matters: Helps tailor solutions to most impactful user segments Expected answer: 70% enterprise, 30% individual users Impact on approach: Would focus on enterprise needs while improving individual experience
Why it matters: Determines feasibility of adaptive testing approaches Expected answer: Platform supports some modularity, but major changes would require significant development Impact on approach: Would consider both short-term optimizations and long-term platform enhancements
Why it matters: Ensures alignment with overall product strategy Expected answer: High priority for Q3-Q4 objectives Impact on approach: Would justify allocation of resources and accelerated timeline
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